Correlation Between SAN MIGUEL and Gamma Communications
Can any of the company-specific risk be diversified away by investing in both SAN MIGUEL and Gamma Communications at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining SAN MIGUEL and Gamma Communications into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SAN MIGUEL BREWERY and Gamma Communications plc, you can compare the effects of market volatilities on SAN MIGUEL and Gamma Communications and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in SAN MIGUEL with a short position of Gamma Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of SAN MIGUEL and Gamma Communications.
Diversification Opportunities for SAN MIGUEL and Gamma Communications
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between SAN and Gamma is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding SAN MIGUEL BREWERY and Gamma Communications plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gamma Communications plc and SAN MIGUEL is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on SAN MIGUEL BREWERY are associated (or correlated) with Gamma Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gamma Communications plc has no effect on the direction of SAN MIGUEL i.e., SAN MIGUEL and Gamma Communications go up and down completely randomly.
Pair Corralation between SAN MIGUEL and Gamma Communications
Assuming the 90 days trading horizon SAN MIGUEL BREWERY is expected to generate 2.87 times more return on investment than Gamma Communications. However, SAN MIGUEL is 2.87 times more volatile than Gamma Communications plc. It trades about 0.06 of its potential returns per unit of risk. Gamma Communications plc is currently generating about 0.03 per unit of risk. If you would invest 4.11 in SAN MIGUEL BREWERY on October 23, 2024 and sell it today you would earn a total of 5.89 from holding SAN MIGUEL BREWERY or generate 143.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SAN MIGUEL BREWERY vs. Gamma Communications plc
Performance |
Timeline |
SAN MIGUEL BREWERY |
Gamma Communications plc |
SAN MIGUEL and Gamma Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SAN MIGUEL and Gamma Communications
The main advantage of trading using opposite SAN MIGUEL and Gamma Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SAN MIGUEL position performs unexpectedly, Gamma Communications can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Gamma Communications will offset losses from the drop in Gamma Communications' long position.SAN MIGUEL vs. CN MODERN DAIRY | SAN MIGUEL vs. AUSNUTRIA DAIRY | SAN MIGUEL vs. TreeHouse Foods | SAN MIGUEL vs. Boyd Gaming |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
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